Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Regulation of Bacterial Virulence01:28

Regulation of Bacterial Virulence

Pathogenic bacteria employ a range of regulatory mechanisms to modulate the expression of virulence genes in response to environmental and host-derived signals. These mechanisms ensure that virulence factors are expressed only under favorable conditions, thereby optimizing infection and survival strategies.Mechanisms of Virulence RegulationKey regulatory strategies include:Two-Component Systems: These consist of a membrane-bound sensor kinase and a cytoplasmic response regulator. Environmental...
Global Regulatory Systems01:28

Global Regulatory Systems

Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
Gram-negative Bacterial Protein Secretion Systems01:17

Gram-negative Bacterial Protein Secretion Systems

Gram-negative bacteria utilize sophisticated protein secretion systems to transport proteins across their double-membrane envelope into the extracellular environment or host cells. Based on their mechanism of action, these systems are classified into one-step and two-step pathways.One-Step Secretion Systems (Types I, III, IV, and VI)One-step secretion systems bypass the periplasm entirely, forming a continuous channel that spans both the inner and outer membranes:Type I Secretion System (T1SS):...
Bacterial Signaling01:30

Bacterial Signaling

Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Transduction01:16

Transduction

Among the three main modes of HGT—transformation, conjugation, and transduction—transduction is unique in that it is mediated by bacteriophages, or bacterial viruses.Transduction occurs in two ways. Generalized transduction occurs during the lytic cycle of a bacteriophage infection. In this process, bacteriophages infect bacterial cells, replicate within them, and ultimately cause cell lysis, releasing newly assembled virions. Occasionally, random fragments of the bacterial genome are...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Molecular noise modulates transitions in the cell-fate differentiation landscape.

NPJ systems biology and applications·2026
Same author

Fifty years since a simple equation described the chaos of biology.

Nature·2026
Same author

Learning cell-specific networks from dynamics and geometry of single cells.

Cell systems·2025
Same author

Towards a mathematical framework for modelling cell fate dynamics.

Journal of mathematical biology·2025
Same author

The topological properties of the protein universe.

Nature communications·2025
Same author

Mapping, Modeling, and Reprogramming Cell-Fate Decision-Making Systems.

Annual review of biomedical data science·2025

Related Experiment Video

Updated: May 20, 2026

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
12:24

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

Evolutionary characteristics of bacterial two-component systems.

Xia Sheng1, Maxime Huvet, John W Pinney

  • 1Imperial College London, London, SW7 2AZ, UK. x.sheng08@imperial.ac.uk

Advances in Experimental Medicine and Biology
|July 24, 2012
PubMed
Summary

Bacterial two-component systems (TCSs) show correlated evolution and flexibility. Component reuse and bacterial lifestyle significantly influence TCS presence, highlighting evolutionary adaptability in signaling pathways.

More Related Videos

Coincubation Assay for Quantifying Competitive Interactions between Vibrio fischeri Isolates
07:43

Coincubation Assay for Quantifying Competitive Interactions between Vibrio fischeri Isolates

Published on: July 22, 2019

Conjugative Mating Assays for Sequence-specific Analysis of Transfer Proteins Involved in Bacterial Conjugation
10:41

Conjugative Mating Assays for Sequence-specific Analysis of Transfer Proteins Involved in Bacterial Conjugation

Published on: January 4, 2017

Related Experiment Videos

Last Updated: May 20, 2026

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
12:24

DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

Coincubation Assay for Quantifying Competitive Interactions between Vibrio fischeri Isolates
07:43

Coincubation Assay for Quantifying Competitive Interactions between Vibrio fischeri Isolates

Published on: July 22, 2019

Conjugative Mating Assays for Sequence-specific Analysis of Transfer Proteins Involved in Bacterial Conjugation
10:41

Conjugative Mating Assays for Sequence-specific Analysis of Transfer Proteins Involved in Bacterial Conjugation

Published on: January 4, 2017

Area of Science:

  • Evolutionary biology
  • Microbiology
  • Systems biology

Background:

  • Bacterial two-component systems (TCSs) regulate environmental interactions.
  • TCSs comprise a membrane-bound histidine kinase and a cytoplasmic response regulator.

Purpose of the Study:

  • To analyze the co-evolution and patterns of gain/loss of TCS components across bacterial species.
  • To investigate the influence of bacterial lifestyle on TCS evolution.

Main Methods:

  • Comprehensive characterization of TCS component presence across ~950 bacterial species.
  • Statistical testing for correlated gain and loss patterns.
  • Analysis of sequence similarity and component reuse.

Main Results:

  • Evidence for correlated evolution of TCS components, alongside significant evolutionary flexibility.
  • High sequence similarity among components from different TCSs suggests potential for crosstalk and recruitment.
  • Bacterial lifestyle is a major determinant of TCS presence/absence.
  • Preferential loss of either histidine kinase or response regulator components indicates component reuse.

Conclusions:

  • Bacterial TCS evolution is characterized by both correlated patterns and remarkable flexibility.
  • Component reuse and shuffling are key evolutionary strategies in bacterial signaling.
  • Findings have broad implications for understanding evolutionary systems biology.